Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1395
Single Precision Score
6892
Half Precision Score
9708
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
4311
801.8 IPS |
|
|
Image Classification (Q)
|
100% |
5001
930.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2526
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
28044
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58755
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (Q)
|
87% |
5927
475.7 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
10513
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
16994
201.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2719
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16243
125.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28208
219.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8236
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45254
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79621
102.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11204
413.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16943
627.5 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.6 IPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1997
34.4 IPS |
